pso--constrained

很常用matlab绘图函数 帮助您绘制大多数常见的matlab函数，很方便(Matlab drawing functions are used to help you draw the most common matlab function, it is convenient)

用simlink开发的space-time coding仿真模型,仿真的精度与效率有不小的提高(with simlink development of the space-time coding model, Simulation accuracy and efficiency are not a small increase)

圆环阵的天线方向图 与基于SMI算法的线阵的自适应波束形成(Adaptive beamforming circular array antenna pattern SMI algorithm based linear array)

这是一本很权威的由张德峰老师编写的小波分析的书相应的源代码(This is a very authoritative and written by Zhang Defeng teacher' s book of wavelet analysis the source code)

Face Recognition Based on Statistical Moments

kelly capital allocation algorithm in matlab. risk management

基于SVM-DTC永磁同步电机直接转矩控制(Based on SVM-DTC Direct Torque Control)

基于字典学习的语音增强中字典更新的算法，称作近似K-SVD算法，其中包含了OMP算法用于稀疏编码计算系数矩阵(Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matrix OMP)

MATLAB环境下对于含平稳噪声的带噪语音利用谱相减算法进行处理，原始语音请命名为“origin.wmv"，处理后的语音为”enhanced.wmv"。rar内含有我自己做好的语音处理结果，可以用你自己的待处理语音替换它们，请放在同一目录下！(MATLAB environment containing stationary noise for Noisy Speech using spectral subtraction algorithm for processing, the original voice please named origin.wmv , after the voice for enhanced.wmv . rar contains my own voice to do a good job dealing with the results, you can use your own voice to be processed to replace them on the same directory, please!)

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.